The present study aims at investigating whether events of socially shared metacognitive regulation (SSMR) differ from each other when comparing their characteristics. These differences are labelled "variations in SSMR". The study is conducted in a peer tutoring setting at university and includes video data (70 h of video recordings) on…

There has been considerable interest in techniques for modelling student learning across practice problems to drive real-time adaptive learning, with particular focus on variants of the classic Bayesian Knowledge Tracing (BKT) model proposed by Corbett & Anderson, 1995. Over time researches have proposed many variants of BKT with…

Using the 2015 data of the China Education Panel Survey (CEPS), the relationship between family socioeconomic background, parent involvement, and shadow education participation was explored through structural equations. The results showed that: parent involvement strengthened shadow education participation; parent involvement played a part in the…

The objective of this research is to study the results of activities to increase the scores of Ordinary National Education Test. Cluster; teachers of Phetchaburi Rajabhat University comparing the results of Ordinary National Education Test in 2017-2018 and studying the satisfaction of the activities. The target group is 49 schools in Phetchaburi…

Intelligent Tutoring Systems (ITS) are computer-based learning environments that aim to imitate to the greatest possible extent the behavior of a human tutor in their capacity as a pedagogical and subject expert. One of the major challenges of these systems is to know how to adapt the training both to changing requirements of all kinds and to…

Federal service academy students participated in this transcendental phenomenological study regarding their experiences as peer tutors at military federal service academies. Outcomes from this article differ from those presented in the literature regarding civilian higher education peer tutors. The following research question provided the…

Attempts to personalise mass higher education systems have received increasing attention as universities compete to attract students. In the United Kingdom (UK), most higher education institutions have a system of personalised supported learning, usually called personal tutoring. Personal tutors are typically academic members of staff who support…

E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…

This article draws upon Torfing's dialectics of path-shaping and path-dependency to shed light on the persistent challenge faced by the policymakers to reduce academic burden in Korea. It is argued that the policy agenda to promote a more all-encompassing form of education reflects the path-shaping motivation of the Ministry of Education to modify…

Prior research has focused extensively on how emotion tendencies (e.g., duration, frequency, intensity, and valence) affect students' performance, but little is known about emotion variability (i.e., the fluctuations in emotion states) and how emotion variability affects performance. In this paper, emotion variability was examined among 21 medical…

The reigning orthodoxy in writing centres has been to avoid directive approaches and embrace non-directive approaches to tutoring. Although this 'myth has been debunked by various writing centre scholars since the late 1990s, many guidebooks on tutoring still adhere to it. We believe that theory-led empirical research on tutor approaches and…

Intelligent learning technologies are often applied within the educational industries. While these technologies can be used to create learning experiences tailored to an individual student, they cannot address students' affect accurately and quickly during the learning process. This paper focuses on two core research questions. How do students…

Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, which has gained momentum in the recent years. Applications of solving varieties of MWPs can increase the efficacy of teaching-learning systems, such as…

Twenty-first century literacy includes a mixture of digital and print literacy skills and strategies. AutoTutor for Adult Reading Comprehension is a web-based intelligent tutoring system that is designed to help adult learners develop effective reading comprehension strategies. Lessons span basic reading skills (vocabulary, word parts),…

Twenty-first century literacy includes a mixture of digital and print literacy skills and strategies. AutoTutor for Adult Reading Comprehension is a web-based intelligent tutoring system that is designed to help adult learners develop effective reading comprehension strategies. Lessons span basic reading skills (vocabulary, word parts),…